This paper estimates international spillover e§ects of US Quantitative Easing (QE) on emerging market economies. Using a Bayesian VAR on monthly US macroeconomic and financial data, we first identify the US QE shock with non-recursive identifying restrictions. This identified shock is then used in another Bayesian panel VAR for emerging market economies to infer the international spillover e§ec...

Optimism or pessimism of investors is one of the important characteristics that determine the investment behavior in financial markets. In this paper, we propose a model of investor optimism based on a fuzzy connective. The advantage of the proposed approach is that the influence of different levels of optimism can be studied by varying a single parameter. We implement our model in an artificia...

As the result of empirical investigations into the foreign exchange market a group structure of characteristic periodic decisions of market participants is found. In order to explain this finding at the microscopic level the agent-based model of a financial market in which N market participants trade M financial commodities is considered. If different sources of periodic information exist then ...

This paper examines the impact of a change of focus by a firm, as signified by stock market reclassification. It distinguishes between sector reclassifications that are motivated by information specific to a particular firm, and those that result from sector redefinitions and reorganisations. The direction of the price effects following reclassification depends significantly upon this distincti...

This thesis consists of an introductory chapter and four self-contained essays on the value relevance of financial statement information. Essay 1 The purpose of this essay is to examine relevance of environmental information from an investor’s perspective. The study proposes that the market value of companies will reflect both financial and environmental performance. The theoretical foundation ...

This paper advances Multilevel Stochastic Dynamic Process (MSDP) models as a new framework for modelling nonstationary and nonlinear time series and complex systems, and discuss possible applications of MSDP models in global financial market analysis and surveillance. Both the discreteand continuous-time forms of MSDP models are constructed: Multilevel Structural Time Series (MSTS) with Unobser...